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Research on Faster R-CNN has recently witnessed the progress in both accuracy and execution efficiency in detecting objects such as faces, hands or pedestrians in photograph or video. However, constrained by the size of its convolution feature map output, it is unable to clearly detect small or tiny objects. Therefore, we presented a fast, deep convolutional neural network based on a modified Faster...
This paper addresses the observer-based l2–l∞ control problem for a class of nonhomogeneous Markov jump Lur׳e systems subject to sensor saturations in discrete-time domain. The time-varying characteristic of transition probabilities is considered as a polytope description. The saturations occurred in the sensor outputs are handled by a decomposition approach. By constructing a stochastic multiple...
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